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  like this it show the route

AI Ambulance Route & Traffic Clearance System

About the Project

In emergency situations, reaching the hospital quickly is very important. Many times, ambulances get stuck in traffic, which can delay medical treatment and sometimes cost lives. Our project focuses on solving this real-world problem by using AI to help ambulances reach hospitals faster.

Inspiration

We were inspired by seeing ambulances stuck in heavy traffic even while using sirens. We realized that traffic signals only react when the ambulance reaches the signal. We wanted to build a system that prepares the road before the ambulance arrives.

How We Built the Project

We designed a system that collects traffic data and predicts congestion on different roads. Using this information, the system selects the fastest and safest route for the ambulance. It also controls traffic signals along the route so they turn green when the ambulance is approaching. The system continuously checks traffic conditions and changes the route if needed.

What We Learned

We learned how AI can be used to solve real-life problems. We also learned about traffic data analysis, route optimization using graph algorithms, and designing systems that work in real-time situations.

Challenges Faced

One of the biggest challenges was handling traffic data and making accurate predictions. Another challenge was ensuring that traffic signals change safely without disturbing normal traffic too much. We worked on balancing emergency priority with public safety.

Impact and Future Scope

This system can help reduce ambulance response time and save lives. In the future, this system can also be used for fire trucks, police vehicles, and disaster emergency services. It can also be integrated into smart city traffic systems.

Built With

• css
• csv
• flask
• git
• github
• html
• javascript
• leaflet.js
• machine-learning
• python